Obesity prediction using an explainable deep learning framework based on LSTM-LIME with integrated visualization.

Alsulami NS, Ramzan MS, Alzahrani BA, Alsulami SS

Open source

DOI
10.1038/s41598-025-33336-5
Published
2025 Dec 21
Container
Scientific reports
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1038/s41598-025-33336-5,
  title = {Obesity prediction using an explainable deep learning framework based on LSTM-LIME with integrated visualization.},
  author = {Alsulami NS and Ramzan MS and Alzahrani BA and Alsulami SS},
  year = {2025},
  journal = {Scientific reports},
  doi = {10.1038/s41598-025-33336-5},
  url = {https://doi.org/10.1038/s41598-025-33336-5}
}

RIS

TY  - JOUR
TI  - Obesity prediction using an explainable deep learning framework based on LSTM-LIME with integrated visualization.
AU  - Alsulami NS
AU  - Ramzan MS
AU  - Alzahrani BA
AU  - Alsulami SS
PY  - 2025
JO  - Scientific reports
DO  - 10.1038/s41598-025-33336-5
UR  - https://doi.org/10.1038/s41598-025-33336-5
ER  - 

APA

NS, A., MS, R., BA, A., & SS, A. (2025). Obesity prediction using an explainable deep learning framework based on LSTM-LIME with integrated visualization.. Scientific reports. https://doi.org/10.1038/s41598-025-33336-5

Source records